Adaptive region-based multimodal image fusion using ICA bases

N Cvejic, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

11 Citations (Scopus)
307 Downloads (Pure)

Abstract

In this paper, we present a novel multimodal image fusion algorithm in ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from given regions using the Piella fusion metric to maximise the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and improvement over other state-of-the-art algorithms.
Translated title of the contributionAdaptive region-based multimodal image fusion using ICA bases
Original languageEnglish
Title of host publication9th International Conference on Information Fusion, FUSION, Florence, Italy
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1 - 6
ISBN (Print)1424409535
DOIs
Publication statusPublished - Jul 2006
Event9th International Conference on Information Fusion - Florence, Italy
Duration: 1 Jul 2006 → …

Conference

Conference9th International Conference on Information Fusion
CountryItaly
CityFlorence
Period1/07/06 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2006 IEEE. Reprinted from 9th International Conference on Information Fusion, 2006 (ICIF 2006).

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Keywords

  • image fusion
  • region-based image fusion
  • image fusion metrics
  • segmentation
  • Independent component analysis

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